Abstract
In the present work we report recent progress in development of dialect recognition system for the Standard Modern Greek and Cypriot dialect of Greek language. Specifically, we rely on a compound recognition scheme, where the outputs of multiple phone recognizers, trained on different European languages are combined. This allows achieving higher recognition accuracy, when compared to the one of the mainstream phone recognizer. The evaluation results reported here indicate high recognition accuracy - up to 95%, which makes the proposed solution a feasible addition to existing spoken dialogue systems, such as voice banking applications, call routers, voice portals, smart-home environments, e-Government speech oriented services, etc.
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Mporas, I., Ganchev, T., Fakotakis, N. (2008). Phonotactic Recognition of Greek and Cypriot Dialects from Telephone Speech. In: Darzentas, J., Vouros, G.A., Vosinakis, S., Arnellos, A. (eds) Artificial Intelligence: Theories, Models and Applications. SETN 2008. Lecture Notes in Computer Science(), vol 5138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87881-0_16
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DOI: https://doi.org/10.1007/978-3-540-87881-0_16
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